code: def load_timeframe(
      self,
      data: Dict[str, Any],
      start: Optional[Union[Period, str]] = None,
      freq: Optional[Union[Freq, str]] = None,
  ) -> TimeFrame:
      if self.time_series_ref is not None:
          ty = self.columns[self.time_series_ref]
          ref = ty.load_from(data, self.time_series_ref)
          length = ref.shape[ty.tdim]
  
          columns = {self.time_series_ref: ref}
  
          columns.update(
              {
                  name: field.load_from(data, name, length=length)
                  for name, field in self.columns.items()
                  if name != self.time_series_ref
              }
          )
  
      else:
          columns = {}
  
      return time_frame(
          columns,
          static=self._load_static(data),
          metadata=self._load_metadata(data),
          start=start,
          freq=freq,
      )
  
imports: from typing import Any, Callable, Optional, Union, Type, Dict
  import numpy
  from gluonts.itertools import partition
  from gluonts.pydantic import parse_obj_as, BaseModel
  from ._freq import Freq
  from ._period import Period
  from ._time_frame import time_frame, TimeFrame
  from ._split_frame import split_frame, SplitFrame
label_desc: Use image node_id 4 for calling the Schema obj's underlying member method code with example usage: obj.load_timeframe(data, start, freq) and returns: time_frame